Hossein Falaki created SPARK-2378:
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Summary: Implement functionality to read csv files
Key: SPARK-2378
URL: https://issues.apache.org/jira/browse/SPARK-2378
Project: Spark
Issue Type:
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Hossein Falaki commented on SPARK-2360:
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As a point for comparison the interface in
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Hossein Falaki edited comment on SPARK-2360 at 7/7/14 11:03 PM:
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Hossein Falaki edited comment on SPARK-2360 at 7/7/14 11:04 PM:
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Hossein Falaki edited comment on SPARK-2360 at 7/8/14 12:45 AM:
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Hossein Falaki commented on SPARK-2360:
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Hi Matthew,
I have not fully read RFC
Hossein Falaki created SPARK-2674:
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Summary: Add date and time types to inferSchema
Key: SPARK-2674
URL: https://issues.apache.org/jira/browse/SPARK-2674
Project: Spark
Issue Type: New
Hossein Falaki created SPARK-2696:
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Summary: Reduce default spark.serializer.objectStreamReset
Key: SPARK-2696
URL: https://issues.apache.org/jira/browse/SPARK-2696
Project: Spark
Issue
Hossein Falaki created SPARK-2698:
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Summary: RDD page Spark Web UI bug
Key: SPARK-2698
URL: https://issues.apache.org/jira/browse/SPARK-2698
Project: Spark
Issue Type: Bug
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Hossein Falaki commented on SPARK-2360:
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There is a pull request for this issue:
Hossein Falaki created SPARK-3827:
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Summary: Very long RDD names are not rendered properly in web UI
Key: SPARK-3827
URL: https://issues.apache.org/jira/browse/SPARK-3827
Project: Spark
Hossein Falaki created SPARK-4135:
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Summary: Error reading Parquet file generated with SparkSQL
Key: SPARK-4135
URL: https://issues.apache.org/jira/browse/SPARK-4135
Project: Spark
Issue
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Hossein Falaki updated SPARK-4135:
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Attachment: _metadata
part-r-1.parquet
Files generated by SparkSQL that cannot
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Hossein Falaki commented on SPARK-2360:
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Sure.
CSV import to SchemaRDDs
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Hossein Falaki closed SPARK-2360.
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This will be a package using Data Source API
CSV import to SchemaRDDs
Hossein Falaki created SPARK-6339:
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Summary: Support creating temporary tables with DDL
Key: SPARK-6339
URL: https://issues.apache.org/jira/browse/SPARK-6339
Project: Spark
Issue Type: New
Hossein Falaki created SPARK-8282:
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Summary: Make number of threads used in RBackend configurable
Key: SPARK-8282
URL: https://issues.apache.org/jira/browse/SPARK-8282
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-8452?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hossein Falaki updated SPARK-8452:
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Description:
Following job management calls are missing in SparkR:
{code}
setJobGroup()
Hossein Falaki created SPARK-8452:
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Summary: expose jobGroup API in SparkR
Key: SPARK-8452
URL: https://issues.apache.org/jira/browse/SPARK-8452
Project: Spark
Issue Type: Bug
Hossein Falaki created SPARK-8742:
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Summary: Improve SparkR error messages for DataFrame API
Key: SPARK-8742
URL: https://issues.apache.org/jira/browse/SPARK-8742
Project: Spark
Issue Type:
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Hossein Falaki commented on SPARK-9319:
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Yes. I will submit a PR.
Add support for
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Hossein Falaki commented on SPARK-9319:
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I have a PR half ready. But I got
Hossein Falaki created SPARK-9443:
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Summary: Explose sampleByKey in SparkR
Key: SPARK-9443
URL: https://issues.apache.org/jira/browse/SPARK-9443
Project: Spark
Issue Type: Bug
Hossein Falaki created SPARK-9803:
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Summary: Add transform and subset to DataFrame
Key: SPARK-9803
URL: https://issues.apache.org/jira/browse/SPARK-9803
Project: Spark
Issue Type: Sub-task
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Hossein Falaki commented on SPARK-11199:
Thanks for filing this [~felixcheung]. I submitted this
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Hossein Falaki commented on SPARK-9318:
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I agree with the issue being discussed. SparkR should have
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Hossein Falaki commented on SPARK-10903:
I meant the SQL Context:
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Hossein Falaki commented on SPARK-10903:
+1 We have seen a lot of questions from new SparkR users
Hossein Falaki created SPARK-10776:
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Summary: Pass location of SparkR source files from R process to JVM
Key: SPARK-10776
URL: https://issues.apache.org/jira/browse/SPARK-10776
Project: Spark
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Hossein Falaki updated SPARK-10711:
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Affects Version/s: (was: 1.6.0)
1.5.0
Fix Version/s: 1.5.1
Hossein Falaki created SPARK-10711:
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Summary: Do not assume spark.submit.deployMode is always set
Key: SPARK-10711
URL: https://issues.apache.org/jira/browse/SPARK-10711
Project: Spark
Hossein Falaki created SPARK-12104:
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Summary: collect() does not handle multiple columns with same name
Key: SPARK-12104
URL: https://issues.apache.org/jira/browse/SPARK-12104
Project: Spark
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Hossein Falaki updated SPARK-12671:
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Affects Version/s: 2.0.0
> Improve tests for better coverage
>
Hossein Falaki created SPARK-12671:
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Summary: Improve tests for better coverage
Key: SPARK-12671
URL: https://issues.apache.org/jira/browse/SPARK-12671
Project: Spark
Issue Type: Sub-task
Hossein Falaki created SPARK-12670:
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Summary: Use spark internal utilities wherever possible
Key: SPARK-12670
URL: https://issues.apache.org/jira/browse/SPARK-12670
Project: Spark
Issue
Hossein Falaki created SPARK-12668:
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Summary: Renaming CSV options to be similar to Pandas and R
Key: SPARK-12668
URL: https://issues.apache.org/jira/browse/SPARK-12668
Project: Spark
Hossein Falaki created SPARK-12669:
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Summary: Organize options for default values
Key: SPARK-12669
URL: https://issues.apache.org/jira/browse/SPARK-12669
Project: Spark
Issue Type: Sub-task
Hossein Falaki created SPARK-12702:
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Summary: Populate statistics for DataFrame when reading CSV
Key: SPARK-12702
URL: https://issues.apache.org/jira/browse/SPARK-12702
Project: Spark
Issue
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Hossein Falaki updated SPARK-12420:
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Attachment: Built-in CSV datasource in Spark.pdf
Design doc for submitting spark-csv as a
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Hossein Falaki edited comment on SPARK-12420 at 12/23/15 8:28 PM:
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Just
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Hossein Falaki edited comment on SPARK-9325 at 11/24/15 10:50 PM:
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To
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Hossein Falaki commented on SPARK-9325:
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To help R users and not open up the API, how about adding
Hossein Falaki created SPARK-15516:
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Summary: Schema merging in driver fails for parquet when merging
LongType and IntegerType
Key: SPARK-15516
URL: https://issues.apache.org/jira/browse/SPARK-15516
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Hossein Falaki commented on SPARK-16088:
+1 for keeping the API in 2.x
> Deprecate setJobGroup,
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Hossein Falaki commented on SPARK-15516:
Here is an example:
{code}
create table mytable using
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Hossein Falaki commented on SPARK-12669:
Having a namespace for option names is a good
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Hossein Falaki commented on SPARK-12669:
This looks like a good categorization. We have full
Hossein Falaki created SPARK-13260:
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Summary: count(*) does not work with CSV data source
Key: SPARK-13260
URL: https://issues.apache.org/jira/browse/SPARK-13260
Project: Spark
Issue Type:
Hossein Falaki created SPARK-13261:
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Summary: Expose maxCharactersPerColumn as a user configurable
option
Key: SPARK-13261
URL: https://issues.apache.org/jira/browse/SPARK-13261
Project: Spark
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Hossein Falaki commented on SPARK-12669:
If/when Spark Data sources API supports that, CSV data
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Hossein Falaki commented on SPARK-13108:
[~hyukjin.kwon] wouldn't this be an issue for JSON as
Hossein Falaki created SPARK-13866:
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Summary: Handle decimal type
Key: SPARK-13866
URL: https://issues.apache.org/jira/browse/SPARK-13866
Project: Spark
Issue Type: Sub-task
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Hossein Falaki updated SPARK-13866:
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Summary: Handle decimal type in CSV inference (was: Handle decimal type)
> Handle decimal
Hossein Falaki created SPARK-13792:
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Summary: Limit logging of bad records
Key: SPARK-13792
URL: https://issues.apache.org/jira/browse/SPARK-13792
Project: Spark
Issue Type: Sub-task
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Hossein Falaki updated SPARK-14223:
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Affects Version/s: 2.0.0
Target Version/s: (was: 2.0.0)
> Cannot project all columns
Hossein Falaki created SPARK-14224:
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Summary: Cannot project all columns from a table with ~1,100
columns
Key: SPARK-14224
URL: https://issues.apache.org/jira/browse/SPARK-14224
Project: Spark
Hossein Falaki created SPARK-14223:
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Summary: Cannot project all columns from a parquet files with
~1,100 columns
Key: SPARK-14223
URL: https://issues.apache.org/jira/browse/SPARK-14223
Project:
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Hossein Falaki updated SPARK-14224:
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Description:
I created a temporary table from 1000 genomes dataset and cached it. When I try
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Hossein Falaki updated SPARK-14223:
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Description:
The parquet file is generated by saving first 10 rows of the 1000 genomes
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Hossein Falaki updated SPARK-14223:
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Description:
The parquet file is generated by saving first 10 rows of the 1000 genomes
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Hossein Falaki updated SPARK-14223:
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Description:
The parquet file is generated by saving first 10 rows of the 1000 genomes
Hossein Falaki created SPARK-14226:
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Summary: Caching a table with 1,100 columns and a few million rows
fails
Key: SPARK-14226
URL: https://issues.apache.org/jira/browse/SPARK-14226
Project: Spark
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Hossein Falaki updated SPARK-14223:
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Attachment: 1000genomes.gz.parquet
> Cannot project all columns from a parquet files with
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Hossein Falaki updated SPARK-14224:
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Target Version/s: 2.0.0
> Cannot project all columns from a table with ~1,100 columns
>
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Hossein Falaki commented on SPARK-14260:
I think default values should be reasonable for common
Hossein Falaki created SPARK-14143:
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Summary: Options for parsing NaNs, Infinity and nulls for numeric
types
Key: SPARK-14143
URL: https://issues.apache.org/jira/browse/SPARK-14143
Project: Spark
Hossein Falaki created SPARK-13754:
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Summary: Keep old data source name for backwards compatibility
Key: SPARK-13754
URL: https://issues.apache.org/jira/browse/SPARK-13754
Project: Spark
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Hossein Falaki commented on SPARK-12420:
HI [~koert]. There is pending PR with extensive set of
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Hossein Falaki commented on SPARK-16883:
I think that is because we are not converting
Hossein Falaki created SPARK-16903:
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Summary: nullValue in first field is not respected by CSV source
when read
Key: SPARK-16903
URL: https://issues.apache.org/jira/browse/SPARK-16903
Project: Spark
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Hossein Falaki commented on SPARK-16903:
Thanks for the info. That make me doubt the decision to
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Hossein Falaki commented on SPARK-16896:
I suggest we generally follow the restrictions of
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Hossein Falaki commented on SPARK-16883:
Thanks [~shivaram]! This may require changing the
Hossein Falaki created SPARK-16883:
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Summary: SQL decimal type is not properly cast to number when
collecting SparkDataFrame
Key: SPARK-16883
URL: https://issues.apache.org/jira/browse/SPARK-16883
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Hossein Falaki updated SPARK-17442:
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Priority: Critical (was: Major)
> Additional arguments in write.df are not passed to data
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Hossein Falaki updated SPARK-17442:
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Priority: Blocker (was: Critical)
> Additional arguments in write.df are not passed to data
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Hossein Falaki updated SPARK-17442:
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Target Version/s: 2.0.1
> Additional arguments in write.df are not passed to data source
>
Hossein Falaki created SPARK-17442:
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Summary: Additional arguments in write.df are not passed to data
source
Key: SPARK-17442
URL: https://issues.apache.org/jira/browse/SPARK-17442
Project: Spark
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Hossein Falaki commented on SPARK-17774:
I agree. I think if we decouple {{head}} from
Hossein Falaki created SPARK-17811:
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Summary: SparkR cannot parallelize data.frame with NA or NULL in
Date columns
Key: SPARK-17811
URL: https://issues.apache.org/jira/browse/SPARK-17811
Project:
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Hossein Falaki commented on SPARK-17774:
Putting implementation aside, throwing an error for
Hossein Falaki created SPARK-17781:
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Summary: datetime is serialized as double inside dapply()
Key: SPARK-17781
URL: https://issues.apache.org/jira/browse/SPARK-17781
Project: Spark
Issue
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Hossein Falaki updated SPARK-17781:
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Description:
When we ship a SparkDataFrame to workers for dapply family functions, inside
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Hossein Falaki updated SPARK-17781:
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Affects Version/s: (was: 2.0.1)
> datetime is serialized as double inside dapply()
>
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Hossein Falaki updated SPARK-17781:
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Description:
When we ship a SparkDataFrame to workers for dapply family functions, inside
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Hossein Falaki updated SPARK-17781:
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Affects Version/s: 2.0.0
> datetime is serialized as double inside dapply()
>
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Hossein Falaki updated SPARK-17781:
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Description:
When we ship a SparkDataFrame to workers for dapply family functions, inside
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Hossein Falaki commented on SPARK-17774:
I strongly feel {{head}} should work, but I don't have
Hossein Falaki created SPARK-17790:
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Summary: Support for parallelizing/creating DataFrame on data
larger than 2GB
Key: SPARK-17790
URL: https://issues.apache.org/jira/browse/SPARK-17790
Project:
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Hossein Falaki updated SPARK-17790:
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Summary: Support for parallelizing data.frame larger than 2GB (was:
Support for
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Hossein Falaki commented on SPARK-17790:
[~shivaram] and [~mengxr] just double checking that in
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Hossein Falaki commented on SPARK-17790:
Thanks for pointing it out. SPARK-6235 seems to be an
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Hossein Falaki updated SPARK-17790:
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Summary: Support for parallelizing R data.frame larger than 2GB (was:
Support for
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Hossein Falaki updated SPARK-17790:
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Issue Type: Sub-task (was: Story)
Parent: SPARK-6235
> Support for parallelizing
Hossein Falaki created SPARK-17774:
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Summary: Add support for head on DataFrame Column
Key: SPARK-17774
URL: https://issues.apache.org/jira/browse/SPARK-17774
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-17774?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hossein Falaki updated SPARK-17774:
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Description:
There was a lot of discussion on SPARK-9325. To summarize the conversation on
Hossein Falaki created SPARK-17762:
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Summary: invokeJava serialized argument list is larger than
INT_MAX (2,147,483,647) bytes
Key: SPARK-17762
URL: https://issues.apache.org/jira/browse/SPARK-17762
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https://issues.apache.org/jira/browse/SPARK-17762?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hossein Falaki updated SPARK-17762:
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Summary: invokeJava fails when serialized argument list is larger than
INT_MAX
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https://issues.apache.org/jira/browse/SPARK-17774?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hossein Falaki updated SPARK-17774:
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Description:
There was a lot of discussion on SPARK-9325. To summarize the conversation on
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https://issues.apache.org/jira/browse/SPARK-17781?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15563193#comment-15563193
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Hossein Falaki commented on SPARK-17781:
I investigated the issue. The root cause is that Date
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